RNA_seq.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# RNA-seq\n",
    "\n",
    "In this project, I elaborate an analysis pipeline for RNA-seq data through the creation of appropriate functions called from a single ```main``` script . \n",
    "\n",
    "The aim is therefore not to use functions from the most famous NGS data analysis packages but to create custom ones in order to work at a low level on the primitives.\n",
    "\n",
    "Each step of the pipeline will be represented by a different function.\n",
    "\n",
    "### **Pipeline scheme:**\n",
    " - Data normalization\n",
    " - Selection of differentially expressed genes\n",
    " - Biological interpretation with functional annotation\n",
    " - Clustering Expression Profiles (k-means)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## DATA\n",
    "\n",
    "The data reproduce an experimental design in which the dynamics of **beta cells** gene expression is monitored under two conditions:\n",
    "\n",
    "- activation of insulin secretion (\"**INS**\" samples)\n",
    "- inhibition of insulin secretion (\"**CTRL**\" samples)\n",
    "\n",
    "The data are stored in the file ```matcount_1095199.RData```, matrix 10000x78:\n",
    "\n",
    "**N** = 10000 genes monitored\n",
    "\n",
    "**M** = 13 time instants\n",
    "\n",
    "3 **biological replicates** for each temporal instant\n",
    "\n",
    "where:\n",
    "\n",
    "```rownames(matcount) = EntrezID``` of the monitored genes\n",
    "(http://www.ncbi.nlm.nih.gov/gene)\n",
    "\n",
    "```colnames(matcount) = CONDITION.TIME.REPLICATES```\n",
    "\n",
    "CONDITION = {\"CTRL\",\"INS\"}\n",
    "\n",
    "TIME = {\"T0\",\"T1\",...,\"T12\"}\n",
    "\n",
    "REPLICATES = {\"REPL1\",\"REPL2\",\"REPL3\"}\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### LOAD DATA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "rm(list=ls())\n",
    "load(\"matcount_1095199.RData\")\n",
    "load(\"Disp_1095199.RData\") # dispersion parameter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### DATA NORMALIZATION\n",
    "\n",
    "The function ```TMMnorm.R```, which perform a normalization with the trimmed mean method (TMM) recives as inputs: \n",
    "\n",
    "```matr``` matrix to be normalised\n",
    "\n",
    "```index``` index of the reference sample chosen to standardise\n",
    "\n",
    "```param``` trim parameter to use for the average\n",
    "\n",
    "As output it provides the same matrix with the normalized data using scaling normalization with TMM.\n",
    "Furthermore it returns MvA plots. Each plot has 2 adjacent boxes showing the MvA plots (in log2-scale) of the sample before and after normalization \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "source('TMMnorm.R')\n",
    "matr.norm <- TMMnorm(matcount, 1, 0.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![alt text](plots_TMMnorm.svg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SELECTION OF DIFFERENTIALLY EXPRESSED GENES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Eliminate genes that always have a count number <=1 \n",
    "# on all 78 normalized samples\n",
    "\n",
    "ind.rm <- c()\n",
    "k <- 1\n",
    "for (i in (1:nrow(matr.norm)))\n",
    "{\n",
    "  j <- 1\n",
    "  while (j<=78)\n",
    "  {\n",
    "    if(matr.norm[i, j]<=1)\n",
    "    {\n",
    "      j <- j+1\n",
    "      if(j==79)\n",
    "      { ind.rm[k] <- i\n",
    "      k <- k+1}\n",
    "    }\n",
    "    else j=79\n",
    "      \n",
    "  }\n",
    "}\n",
    "\n",
    "matr.filt <- matr.norm[-ind.rm,]\n",
    "\n",
    "# create a 3-column data frame associating the column\n",
    "# names of the normalized matrix to the times\n",
    "# and conditions to be tested\n",
    "\n",
    "samples <- colnames(matr.filt)\n",
    "ind.C <- charToRaw(\"C\")\n",
    "condition <- c()\n",
    "time_istant <- c()\n",
    "\n",
    "for (i in (1:length(samples)))\n",
    "{\n",
    "  tmp <- charToRaw(samples[i])\n",
    "  if (tmp[1]==ind.C)\n",
    "    {\n",
    "    condition[i] <- \"CTRL\"\n",
    "    if (length(tmp)==13) \n",
    "        {time_istant[i] <- as.integer(rawToChar(tmp[7]))}\n",
    "    else {time_istant[i] <- as.integer(rawToChar(tmp[7:8]))}\n",
    "    }\n",
    "  else\n",
    "  {\n",
    "    condition[i] <- \"INS\"\n",
    "    if (length(tmp)==12)\n",
    "    {time_istant[i] <- as.integer(rawToChar(tmp[6]))}\n",
    "    else {time_istant[i] <- as.integer(rawToChar(tmp[6:7]))}\n",
    "  }\n",
    "  \n",
    "}\n",
    "time_istant <- time_istant-1\n",
    "\n",
    "d.frame <- data.frame(Sample=samples, Time=time_istant, Condition=condition)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The selection of differentially expressed genes, after having prepared the data as shown above, takes place through two functions: ```TSdiff.R``` which in it calls ```NBdiff.test```.\n",
    "\n",
    "```NBdiff.test```  for a fixed time period t_j (j=1,...,12) receives in input:\n",
    "\n",
    "```X``` matrix of counts with the samples of the \"CTRL\" condition at time t_j\n",
    "\n",
    "```Y``` matrix of counts with the samples of the \"INS\" condition at time t_j\n",
    " \n",
    "```phi``` dispersion parameter\n",
    "\n",
    "```type.test``` the selection method (string): \"t_test\", \"Wald\"\n",
    "\n",
    "It returns a vector with the p-values associated with ```EntrezID``` of the genes, ordered by ```rownames(X)=rownames(Y)```.\n",
    "\n",
    "Function ```Tsdiff.R``` calls the ```NBdiff.test``` function, applying it to each time instant by comparing ```CTRL``` vs. ```INS```. It takes as input:\n",
    "\n",
    "```matr``` normalized and filtered counts matrix\n",
    "\n",
    "```dataframe``` dataframe with information on the names of the samples\n",
    "\n",
    "```phi``` a vector receiving the time-specific dispersion parameters\n",
    "\n",
    "```pFP``` the highest tolerated pFP probability of committing a Type I error\n",
    "\n",
    "```test``` the selection method (string): \"t_test\", \"Wald\"\n",
    "\n",
    "```correction``` the correction method (string): 'NO_correction', 'Bonferroni', 'FDR'\n",
    "\n",
    "```P0``` the percentage P0 of genes not differentially expressed\n",
    "\n",
    "\n",
    "It returns a list of 2 items: \n",
    "- Element 1: a vector with EntrezIDs of genes differentially expressed in at least one temporal instant, \n",
    "- Element 2: a 12x4 matrix that shows, for each line, the TP, FP, TN and FN expected at time t_j (j=1,...,12) in correspondence to the threshold of required significance.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load and execute the function to select the genes differentially expressed\n",
    "# over time using the parameters that allow you to obtain the best solution\n",
    "\n",
    "source('TSdiff.R')\n",
    "list_TSdiff <- TSdiff(matr.filt, d.frame, disp, 0.05/12, 'Wald', 'Bonferroni', 0.99) \n",
    "#### if input != t_test or Wald, list_TSdiff[[1]] is empty; if selected = zero (t_test+Bonferroni)\n",
    "#### quit or kmeans enters in loop\n",
    "\n",
    "if(length(list_TSdiff[[1]])<=1){\n",
    "  print(paste0(\"Insufficient number of selected genes\"))\n",
    "}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### BIOLOGICAL INTERPRETATION WITH FUNCTIONAL ANNOTATION\n",
    "\n",
    "```GOannotations.txt``` and ```geneinfo.txt``` are delimited tab text files that contain the following information for each line:\n",
    "\n",
    "```GOannotations.txt``` file:\n",
    "\n",
    "```GOID```: GO term identifier\n",
    "\n",
    "```Term```: Name of the GO term \n",
    "\n",
    "```Annotated_Genes```: genes annoted on that term (separator = \";\")\n",
    "\n",
    "File ```geneinfo.txt```:\n",
    "\n",
    "```EntrezID```: Entrez ID of the gene, corresponding to the IDs on the data.\n",
    "\n",
    "```GeneName```: name of the gene\n",
    "\n",
    "```GeneSymbol```: symbol associated with the name of the gene\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load files \"GOannotations.txt\" and \"geneinfo.txt\"\n",
    "GOannotations <- read.delim('GOannotations.txt', header=TRUE, sep=\"\\t\")\n",
    "geneinfo <- read.delim('geneinfo.txt', header=TRUE ,sep=\"\\t\")\n",
    "\n",
    "# create a data frame of 2 columns associating the name of the genes \n",
    "# to a flag indicating if the gene is (=1) or not (=0) selected\n",
    "row.entrez <- rownames(matr.filt)\n",
    "row.flag <- row.entrez%in%list_TSdiff[[1]]\n",
    "row.flag[which(row.flag==TRUE)] <- 1\n",
    "row.flag[which(row.flag==FALSE)] <- 0\n",
    "flag.frame <- data.frame(EntrezID=row.entrez, Selcted=row.flag)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The ```EnrichGO.R``` function performs **enrichment analysis using Fisher's test**, considering an FDR correction for multiple tests, on all GO terms listed in the ```GOannotations.txt``` file.\n",
    "\n",
    "It requires as input:\n",
    "\n",
    "```flag.frame``` the data frame on the names of the selected/unselected genes\n",
    "\n",
    "```GOannotations``` the data frame from ```GOannotations.txt```\n",
    "\n",
    "```geneinfo``` the data frame from ```geneinfo.txt```\n",
    "\n",
    "\n",
    "It returns in output a data frame, ordered according to increasing p-values, which reports for each row:\n",
    "\n",
    "```GOID```: GO term identifier\n",
    "\n",
    "```Term```: Name of the GO term\n",
    "\n",
    "```p-value```: nominal p-value of the Fisher test.\n",
    "\n",
    "```FDR```: The corresponding FDR, using P0=1\n",
    "\n",
    "```Annotated```: number of genes annotated in the GO term\n",
    "\n",
    "```Selected```: Number of selected genes that are annotated in the GO term\n",
    "\n",
    "```EntrezID```: EntrezID identifiers of the genes selected in the GO term (separator = \";\")\n",
    "\n",
    "```Gene Name```: Names of genes selected in the GO term (separator = \";\")\n",
    "\n",
    "```Gene Symbol```: symbols of the genes selected in the GO term(separator = ';')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load and execute the function for enrichment analysis\n",
    "source('EnrichGO.R')\n",
    "Enrich.frame <- EnrichGO(flag.frame, GOannotations, geneinfo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>GOID</th><th scope=col>Term</th><th scope=col>p_value</th><th scope=col>FDR</th><th scope=col>Annotated</th><th scope=col>Selected</th><th scope=col>EntrezID</th><th scope=col>Gene_Name</th><th scope=col>Gene_Symbol</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>8206</th><td>GO:0051049                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       </td><td>regulation of transport                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        </td><td>1.722153e-37                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               </td><td>calcium channel, voltage-dependent, gamma subunit 2;Rap guanine nucleotide exchange factor (GEF) 3;calcium homeostasis endoplasmic reticulum protein;WW domain containing E3 ubiquitin protein ligase 2;Rap guanine nucleotide exchange factor (GEF) 4;parkinson protein 7;cannabinoid receptor 1 (brain);dopamine receptor D2;four and a half LIM domains 1;FK506 binding protein 1B, 12.6 kDa;neuroligin 1;phospholipase C, beta 1 (phosphoinositide-specific);potassium voltage-gated channel, subfamily G, member 2;UDP-Gal:betaGlcNAc beta 1,4- galactosyltransferase, polypeptide 1;BCL2 binding component 3;glucagon-like peptide 1 receptor;glutamate-ammonia ligase;ankyrin 2, neuronal;growth factor receptor-bound protein 10;hypocretin (orexin) neuropeptide precursor;hypoxia inducible factor 1, alpha subunit (basic helix-loop-helix transcription factor);major histocompatibility complex, class II, DR beta 1;5-hydroxytryptamine (serotonin) receptor 2A, G protein-coupled;aquaporin 1 (Colton blood group);insulin receptor substrate 1;potassium voltage-gated channel, shaker-related subfamily, member 5;potassium voltage-gated channel, Isk-related family, member 1;potassium voltage-gated channel, subfamily H (eag-related), member 2;potassium intermediate/small conductance calcium-activated channel, subfamily N, member 2;potassium voltage-gated channel, KQT-like subfamily, member 1;potassium voltage-gated channel, delayed-rectifier, subfamily S, member 3;pim-3 oncogene;SH3 and multiple ankyrin repeat domains 1;transient receptor potential cation channel, subfamily V, member 6;reelin;neuroligin 2;protein tyrosine phosphatase, non-receptor type 11;zona pellucida glycoprotein 4;ryanodine receptor 2 (cardiac);sodium channel, voltage-gated, type X, alpha subunit;chemokine (C motif) ligand 1;solute carrier family 2 (facilitated glucose transporter), member 1;solute carrier family 2 (facilitated glucose transporter), member 2;syntaxin 1A (brain);transcription factor 7-like 2 (T-cell specific, HMG-box);calcium channel, voltage-dependent, L type, alpha 1D subunit;calcium channel, voltage-dependent, R type, alpha 1E subunit;zona pellucida glycoprotein 3 (sperm receptor);phospholipase A2, group VI (cytosolic, calcium-independent);calsequestrin 2 (cardiac muscle);SH3 and multiple ankyrin repeat domains 3;actinin, alpha 2;cyclin-dependent kinase 5, regulatory subunit 2 (p39);calcium channel, voltage-dependent, alpha 2/delta subunit 2</td><td>CACNG2;RAPGEF3;CHERP;WWP2;RAPGEF4;PARK7;CNR1;DRD2;FHL1;FKBP1B;NLGN1;PLCB1;KCNG2;B4GALT1;BBC3;GLP1R;GLUL;ANK2;GRB10;HCRT;HIF1A;HLA-DRB1;HTR2A;AQP1;IRS1;KCNA5;KCNE1;KCNH2;KCNN2;KCNQ1;KCNS3;PIM3;SHANK1;TRPV6;RELN;NLGN2;PTPN11;ZP4;RYR2;SCN10A;XCL1;SLC2A1;SLC2A2;STX1A;TCF7L2;CACNA1D;CACNA1E;ZP3;PLA2G6;CASQ2;SHANK3;ACTN2;CDK5R2;CACNA2D2                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllllll}\n",
       "  & GOID & Term & p\\_value & FDR & Annotated & Selected & EntrezID & Gene\\_Name & Gene\\_Symbol\\\\\n",
       "\\hline\n",
       "\t8206 & GO:0051049                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   & 7.767815e-40                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      & 1.722153e-37                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               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                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         & 88;287;358;776;777;845;1268;1813;2273;2281;2683;2740;2752;2887;3060;3091;3123;3356;3667;3741;3753;3757;3781;3784;3790;5649;5781;6262;6336;6375;6513;6514;6804;6934;7784;8398;8941;9254;10369;10411;10523;11060;11069;11315;22871;23236;26251;27113;50944;55503;57555;57829;85358;415116                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           & calcium channel, voltage-dependent, gamma subunit 2;Rap guanine nucleotide exchange factor (GEF) 3;calcium homeostasis endoplasmic reticulum protein;WW domain containing E3 ubiquitin protein ligase 2;Rap guanine nucleotide exchange factor (GEF) 4;parkinson protein 7;cannabinoid receptor 1 (brain);dopamine receptor D2;four and a half LIM domains 1;FK506 binding protein 1B, 12.6 kDa;neuroligin 1;phospholipase C, beta 1 (phosphoinositide-specific);potassium voltage-gated channel, subfamily G, member 2;UDP-Gal:betaGlcNAc beta 1,4- galactosyltransferase, polypeptide 1;BCL2 binding component 3;glucagon-like peptide 1 receptor;glutamate-ammonia ligase;ankyrin 2, neuronal;growth factor receptor-bound protein 10;hypocretin (orexin) neuropeptide precursor;hypoxia inducible factor 1, alpha subunit (basic helix-loop-helix transcription factor);major histocompatibility complex, class II, DR beta 1;5-hydroxytryptamine (serotonin) receptor 2A, G protein-coupled;aquaporin 1 (Colton blood group);insulin receptor substrate 1;potassium voltage-gated channel, shaker-related subfamily, member 5;potassium voltage-gated channel, Isk-related family, member 1;potassium voltage-gated channel, subfamily H (eag-related), member 2;potassium intermediate/small conductance calcium-activated channel, subfamily N, member 2;potassium voltage-gated channel, KQT-like subfamily, member 1;potassium voltage-gated channel, delayed-rectifier, subfamily S, member 3;pim-3 oncogene;SH3 and multiple ankyrin repeat domains 1;transient receptor potential cation channel, subfamily V, member 6;reelin;neuroligin 2;protein tyrosine phosphatase, non-receptor type 11;zona pellucida glycoprotein 4;ryanodine receptor 2 (cardiac);sodium channel, voltage-gated, type X, alpha subunit;chemokine (C motif) ligand 1;solute carrier family 2 (facilitated glucose transporter), member 1;solute carrier family 2 (facilitated glucose transporter), member 2;syntaxin 1A (brain);transcription factor 7-like 2 (T-cell specific, HMG-box);calcium channel, voltage-dependent, L type, alpha 1D subunit;calcium channel, voltage-dependent, R type, alpha 1E subunit;zona pellucida glycoprotein 3 (sperm receptor);phospholipase A2, group VI (cytosolic, calcium-independent);calsequestrin 2 (cardiac muscle);SH3 and multiple ankyrin repeat domains 3;actinin, alpha 2;cyclin-dependent kinase 5, regulatory subunit 2 (p39);calcium channel, voltage-dependent, alpha 2/delta subunit 2 & CACNG2;RAPGEF3;CHERP;WWP2;RAPGEF4;PARK7;CNR1;DRD2;FHL1;FKBP1B;NLGN1;PLCB1;KCNG2;B4GALT1;BBC3;GLP1R;GLUL;ANK2;GRB10;HCRT;HIF1A;HLA-DRB1;HTR2A;AQP1;IRS1;KCNA5;KCNE1;KCNH2;KCNN2;KCNQ1;KCNS3;PIM3;SHANK1;TRPV6;RELN;NLGN2;PTPN11;ZP4;RYR2;SCN10A;XCL1;SLC2A1;SLC2A2;STX1A;TCF7L2;CACNA1D;CACNA1E;ZP3;PLA2G6;CASQ2;SHANK3;ACTN2;CDK5R2;CACNA2D2                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "| <!--/--> | GOID | Term | p_value | FDR | Annotated | Selected | EntrezID | Gene_Name | Gene_Symbol | \n",
       "|---|\n",
       "| 8206 | GO:0051049                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        | regulation of transport                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           | 7.767815e-40                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      | 1.722153e-37                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      | 644                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               | 54                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                | 88;287;358;776;777;845;1268;1813;2273;2281;2683;2740;2752;2887;3060;3091;3123;3356;3667;3741;3753;3757;3781;3784;3790;5649;5781;6262;6336;6375;6513;6514;6804;6934;7784;8398;8941;9254;10369;10411;10523;11060;11069;11315;22871;23236;26251;27113;50944;55503;57555;57829;85358;415116                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           | calcium channel, voltage-dependent, gamma subunit 2;Rap guanine nucleotide exchange factor (GEF) 3;calcium homeostasis endoplasmic reticulum protein;WW domain containing E3 ubiquitin protein ligase 2;Rap guanine nucleotide exchange factor (GEF) 4;parkinson protein 7;cannabinoid receptor 1 (brain);dopamine receptor D2;four and a half LIM domains 1;FK506 binding protein 1B, 12.6 kDa;neuroligin 1;phospholipase C, beta 1 (phosphoinositide-specific);potassium voltage-gated channel, subfamily G, member 2;UDP-Gal:betaGlcNAc beta 1,4- galactosyltransferase, polypeptide 1;BCL2 binding component 3;glucagon-like peptide 1 receptor;glutamate-ammonia ligase;ankyrin 2, neuronal;growth factor receptor-bound protein 10;hypocretin (orexin) neuropeptide precursor;hypoxia inducible factor 1, alpha subunit (basic helix-loop-helix transcription factor);major histocompatibility complex, class II, DR beta 1;5-hydroxytryptamine (serotonin) receptor 2A, G protein-coupled;aquaporin 1 (Colton blood group);insulin receptor substrate 1;potassium voltage-gated channel, shaker-related subfamily, member 5;potassium voltage-gated channel, Isk-related family, member 1;potassium voltage-gated channel, subfamily H (eag-related), member 2;potassium intermediate/small conductance calcium-activated channel, subfamily N, member 2;potassium voltage-gated channel, KQT-like subfamily, member 1;potassium voltage-gated channel, delayed-rectifier, subfamily S, member 3;pim-3 oncogene;SH3 and multiple ankyrin repeat domains 1;transient receptor potential cation channel, subfamily V, member 6;reelin;neuroligin 2;protein tyrosine phosphatase, non-receptor type 11;zona pellucida glycoprotein 4;ryanodine receptor 2 (cardiac);sodium channel, voltage-gated, type X, alpha subunit;chemokine (C motif) ligand 1;solute carrier family 2 (facilitated glucose transporter), member 1;solute carrier family 2 (facilitated glucose transporter), member 2;syntaxin 1A (brain);transcription factor 7-like 2 (T-cell specific, HMG-box);calcium channel, voltage-dependent, L type, alpha 1D subunit;calcium channel, voltage-dependent, R type, alpha 1E subunit;zona pellucida glycoprotein 3 (sperm receptor);phospholipase A2, group VI (cytosolic, calcium-independent);calsequestrin 2 (cardiac muscle);SH3 and multiple ankyrin repeat domains 3;actinin, alpha 2;cyclin-dependent kinase 5, regulatory subunit 2 (p39);calcium channel, voltage-dependent, alpha 2/delta subunit 2 | CACNG2;RAPGEF3;CHERP;WWP2;RAPGEF4;PARK7;CNR1;DRD2;FHL1;FKBP1B;NLGN1;PLCB1;KCNG2;B4GALT1;BBC3;GLP1R;GLUL;ANK2;GRB10;HCRT;HIF1A;HLA-DRB1;HTR2A;AQP1;IRS1;KCNA5;KCNE1;KCNH2;KCNN2;KCNQ1;KCNS3;PIM3;SHANK1;TRPV6;RELN;NLGN2;PTPN11;ZP4;RYR2;SCN10A;XCL1;SLC2A1;SLC2A2;STX1A;TCF7L2;CACNA1D;CACNA1E;ZP3;PLA2G6;CASQ2;SHANK3;ACTN2;CDK5R2;CACNA2D2                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      | \n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "     GOID       Term                    p_value      FDR          Annotated\n",
       "8206 GO:0051049 regulation of transport 7.767815e-40 1.722153e-37 644      \n",
       "     Selected\n",
       "8206 54      \n",
       "     EntrezID                                                                                                                                                                                                                                                                               \n",
       "8206 88;287;358;776;777;845;1268;1813;2273;2281;2683;2740;2752;2887;3060;3091;3123;3356;3667;3741;3753;3757;3781;3784;3790;5649;5781;6262;6336;6375;6513;6514;6804;6934;7784;8398;8941;9254;10369;10411;10523;11060;11069;11315;22871;23236;26251;27113;50944;55503;57555;57829;85358;415116\n",
       "     Gene_Name                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        \n",
       "8206 calcium channel, voltage-dependent, gamma subunit 2;Rap guanine nucleotide exchange factor (GEF) 3;calcium homeostasis endoplasmic reticulum protein;WW domain containing E3 ubiquitin protein ligase 2;Rap guanine nucleotide exchange factor (GEF) 4;parkinson protein 7;cannabinoid receptor 1 (brain);dopamine receptor D2;four and a half LIM domains 1;FK506 binding protein 1B, 12.6 kDa;neuroligin 1;phospholipase C, beta 1 (phosphoinositide-specific);potassium voltage-gated channel, subfamily G, member 2;UDP-Gal:betaGlcNAc beta 1,4- galactosyltransferase, polypeptide 1;BCL2 binding component 3;glucagon-like peptide 1 receptor;glutamate-ammonia ligase;ankyrin 2, neuronal;growth factor receptor-bound protein 10;hypocretin (orexin) neuropeptide precursor;hypoxia inducible factor 1, alpha subunit (basic helix-loop-helix transcription factor);major histocompatibility complex, class II, DR beta 1;5-hydroxytryptamine (serotonin) receptor 2A, G protein-coupled;aquaporin 1 (Colton blood group);insulin receptor substrate 1;potassium voltage-gated channel, shaker-related subfamily, member 5;potassium voltage-gated channel, Isk-related family, member 1;potassium voltage-gated channel, subfamily H (eag-related), member 2;potassium intermediate/small conductance calcium-activated channel, subfamily N, member 2;potassium voltage-gated channel, KQT-like subfamily, member 1;potassium voltage-gated channel, delayed-rectifier, subfamily S, member 3;pim-3 oncogene;SH3 and multiple ankyrin repeat domains 1;transient receptor potential cation channel, subfamily V, member 6;reelin;neuroligin 2;protein tyrosine phosphatase, non-receptor type 11;zona pellucida glycoprotein 4;ryanodine receptor 2 (cardiac);sodium channel, voltage-gated, type X, alpha subunit;chemokine (C motif) ligand 1;solute carrier family 2 (facilitated glucose transporter), member 1;solute carrier family 2 (facilitated glucose transporter), member 2;syntaxin 1A (brain);transcription factor 7-like 2 (T-cell specific, HMG-box);calcium channel, voltage-dependent, L type, alpha 1D subunit;calcium channel, voltage-dependent, R type, alpha 1E subunit;zona pellucida glycoprotein 3 (sperm receptor);phospholipase A2, group VI (cytosolic, calcium-independent);calsequestrin 2 (cardiac muscle);SH3 and multiple ankyrin repeat domains 3;actinin, alpha 2;cyclin-dependent kinase 5, regulatory subunit 2 (p39);calcium channel, voltage-dependent, alpha 2/delta subunit 2\n",
       "     Gene_Symbol                                                                                                                                                                                                                                                                                                                                 \n",
       "8206 CACNG2;RAPGEF3;CHERP;WWP2;RAPGEF4;PARK7;CNR1;DRD2;FHL1;FKBP1B;NLGN1;PLCB1;KCNG2;B4GALT1;BBC3;GLP1R;GLUL;ANK2;GRB10;HCRT;HIF1A;HLA-DRB1;HTR2A;AQP1;IRS1;KCNA5;KCNE1;KCNH2;KCNN2;KCNQ1;KCNS3;PIM3;SHANK1;TRPV6;RELN;NLGN2;PTPN11;ZP4;RYR2;SCN10A;XCL1;SLC2A1;SLC2A2;STX1A;TCF7L2;CACNA1D;CACNA1E;ZP3;PLA2G6;CASQ2;SHANK3;ACTN2;CDK5R2;CACNA2D2"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# example of the first row of EnrichGO\n",
    "head(Enrich.frame, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### CLUSTERING EXPRESSION PROFILES (K-MEANS)\n",
    "\n",
    "First some pre-processing is required:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# extract differentially expressed genes from normalised data,\n",
    "# average replicates, log-transform (with offsets) and calculate treatment-control\n",
    "ind.diff <- which(flag.frame$Selcted==1)\n",
    "matr.diff <- matr.filt[ind.diff,]\n",
    "\n",
    "MAT <- matrix(0,length(ind.diff),13)\n",
    "rownames(MAT) <- rownames(matr.diff)\n",
    "for (i in (1:13)){ # using d.frame, I already have the disjointed names of the variables \n",
    "  ind.CTRL <- which(d.frame$Time==(i-1) & d.frame$Condition=='CTRL')\n",
    "  ind.INS <- which(d.frame$Time==(i-1) & d.frame$Condition=='INS')\n",
    "  # calculate average of replicates\n",
    "  if(is.null(nrow(matr.diff))){\n",
    "    mean_CTRL <- mean(matr.diff[ind.CTRL])\n",
    "    mean_INS <- mean(matr.diff[ind.INS])\n",
    "    } else{\n",
    "  mean_CTRL <- apply(matr.diff[,ind.CTRL],1,mean)\n",
    "  mean_INS <- apply(matr.diff[,ind.INS],1,mean)\n",
    "  MAT[,i] <- log(mean_INS+1)-log(mean_CTRL+1)}\n",
    "}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The function ```K_means.R``` returns in output a list containing the genes grouped in K cluster and the K centroids.\n",
    "It gives the possibility to choose the type of distance to use ```Euclidean``` or ```Correlation```, by calling the function ```measure.R```.\n",
    "\n",
    "```K_means.R``` receives as input:   \n",
    "\n",
    "```MAT``` data matrix\n",
    "\n",
    "```K``` number of clusters\n",
    "\n",
    "```measure_type``` choice between \"```Correlation```\" or \"```Euclidean```\" distance in clustering\n",
    "\n",
    "```R``` number of restarts of the k-means algorithm\n",
    "\n",
    "```SEED``` Random number generator SEED\n",
    "\n",
    "```list``` containing the genes grouped in K clusters and K centroids\n",
    "\n",
    "\n",
    "As an EXTERNAL termination condition we impose that Restarts are reached, as an INTERNAL condition that none of the genes changes cluster in the entire FOR cycle\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Co+okYxx3HMsGMUBBx41LATRTGdTkej0erq6pw9UfqEOu1QixjQmfe//wu33Za6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heHh49+7d9FqVu2g0CmeLSqUSjUYXj7QZ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Gbxo+66YSIR+n4ikZiamlq+shscSJIkHoZSJWW5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\nhHecekIZrJ/Az02IHcuMDrFuwewMsSJ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VKpsO1EJ7AGmvnzzz//0Y9+9Lrrrrvq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\n9zgOnuS6rpum2dPTMzc3x3Fc+s47//Ouu4goPTbGXiKKYl9f3+z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OZzi0LHMGmNI5YKaFMgyQmQINM3MYckjpAhQobQmFNnsaYmfxbsna\nl7u/fzzRr8KyZcexZEs8n7+k67vJenTv9z5rBgdUuFwu9GmxHhD52m56DYrZyYiiiCMo8GcA\nOROUCyDLMlZaFM6xgzHCzuczeF6JRsPhMA7bwIGweDjMlcHcrOl9HGKOwAyS4zjZZvP09ACA\n1Wo9dOgQum+x4BGflTGnKpdIJILDknGYI5CwK1tY/cS4oVi8mqmqaurrAwCXx4OFNSwoDwAc\nx82fP39kZEQQBBZxw/xjh8OBa1J34jLi8ccf/+IXv2ixWLZv3/6Nb3xj69atALBhw4Zdu3ad\n/87RJxePxy0WC2tTx/P86OgoNnywWa1w6JDi97OgEGZzUhZviak0HS3LMnsePeuxi0SSgYBh\nsSiK4nQ6VVVNJBIYjxBFMVfroD8vNx7BgrnTOxlsWeLxeEKhkN1uR2E3FY8dSjEUdoVVILr0\nUN455s0zQqFkLJZQFKfTGQgE8HPh4bCoAj9sYbFIzHGYQfI8rwrCvLff7lu1SlVVVVV7enpa\nW1sDgYAoivg4wVJL2YS9aDRaOzLCiSLYbLyinI9PmphdHA5HJBLheT7/G2TTCDVNg95erqbG\n5XINDAxA3jj2mpqakydPYhksEovFRFHkOE4UxQsvvNBms+FzZvE/EHG+/OAHP3jzzTcvvPDC\n3IXbtm27+eabt23bdv77d7vdsVgM75J4N7FaralUyuPxpFIpazwOsZjqdltMJgDgeR4lHXns\nSkwle+zOdhgZHDQ4LpPJYDmP0+lMJBLRaFTXdVEUc590BUHAaQ2Ms9JwWrc9wzBkWbbZbDiC\ngnnsptLKDnsIm83mqXvsNE2zBgIAMCrLHMclk8lAIGA2mzH9DnI8duw/M40PRcwF0CDPjosF\ncBw/jn7ZpqamM2fOBINBAFiwYAEASJKEoVjIxmSTyaSiKPyxY1w2KP9JLqMpdxwOB5aL5f8J\nhT5+ufrQkMFx2NGQ3WsZHMddeOGFLS0tbEk8HmeTPbGhHVCFTZkQiUQ+9alPjVl4ySWXDA4O\nzsj+RVHEtEu2BG8rfr9flmXb6dPgdCrZ+kVRFBVFoRbopafShB3LscMHVl1VLSdOQDapThRF\nl8sVjUYlSVIUxe12s5Wxy+IMCjsWTg0EAqlUCqvBAUAQhEk9dkyesjrWicgNxZotFpOmaQDo\nHfR4PHjmmqZpiYSu67af/xy3YhUVRDnChB267lRVtdtsmOnS1NR09OjRTCaDDhgcJmaxWARB\nwJhdOBx22O36wIDB8xi3pUqa8sXpdOq6Pu5dE320hmHwJlPaagUArA8bdxY7tsVhb+PxOGt5\nCAA4woTuzWXBokWLurq6cpcYhvH9739/+fLlM7J/t9udTCaxIQPeetD14HK5DMOwHTkCS5cq\nioL5vj6fD+9l9PRYYirqmo5JckyrAYCeSFiiUcFsxoCU0+l0uVyJRILneZPJ5HA4MLsIR2W7\nXK4ZFHaonKxWq8PhsNvtoVDonDx2+CnMZnNhFYjKD9uaAACfnSjg9/vZc5JhGKmtWwHA9v3v\njzk9ohzBKhyMq3IAstNZ5XJhOl11dbXD4Thy5AjaGBqw2+1m46cikYhXkiS328hWapOwK1+w\nOir/G8xNpbVqWrqpyWQyDQ0NQTbnqQDpdBpbe7IllGBXRnR1dT388MONjY0bNmz4whe+sH79\n+sbGxh//+MePP/74jOwfDQNLdrChBNZPnO0g+4c/wLJlmO+EofxUKkXdiUtPRT2EoVhh3YkB\nQEsmeVG0ORxoiDabDbuN2Gw2fIzA1dCZ4Xa7e3t7sRwVd3iewg67iAGA3+/v7e09J48dE3aT\neuwURcFQLAAIsqwApNPphQsX4uagaQCQam0FANvnP4/DZHE27jQ+FDFHwLafOC5W8fmqDKOP\n46xWa29v79KlS/ft28cmCgCAz+dLp9PJZBIT7BYdPNjX0gIAiqIYhkEJduWILMuqqjocjonm\n5bDX1kQiVVdntVoxRu/3+wvvGVPjc2dAUa+TMmLVqlXd3d1vvPHG0aNHk8mky+W66667rrji\nihn5mSuKghlNeD9FlzA2Qs9kMoIgmP70J+MrX0HzMwzD6XQODAyQsCs9FSXs8NEBM07OJpPJ\nsrmhAScxAIDVasUyWBaSQKcFqhxRFE0mUzweZ9c+DNFOz6WR+5gbCASYsJti8QSWgEwlxy6T\nyTCPnTWTSRkGAFRVVYGq8s89p69YYeL51B13cKdPm++/3/TmmwYAl+0YTpQp2L5E0zSLIMg+\nX208DgC6rg8PD7e2tra3tx84cADD9ADg8/lMJlM4HMYEO+/LL5/4f/8Psg/cJOzKkf7+/tHR\n0ZUrV7Ju1bkwX6yu6+bhYWXBApfFgheKSesTsXIidwl57MoLi8Vy5ZVXXnnllTO+576+vkgk\ngvUTAIDjMQ3D8Pl8mUzGJghw/Li6fDlWVGCLHJx7NONnQhRmFqIwxeuykxvOPzt+GIBfuBC7\nEGP4FZMDVFXFixdWa6PSslgsmBnKdng+BYO5nZ88Hg9LUsGWK4VrF3Jz7AoXOmBVLLu4i5Jk\ncJzP5+P7++Hyy80vv2yYzYbJlJEks9nMCQJntfKpFEgSeezKGibsBKtVqa42B4M4Qwyddn6/\n3+fzoUng4AGHw5FOp0dHRx1Wq+kPf5BstqqqKrwuU+/QcgRTSrBVU75TH7t14jQ5c3+/npX4\nuR3sJiK3cgKhJnYEYrPZUqmUKIqYs44eO47j3G63JEnWTAZUNdXSAgB4v8PJKOSxKz2lFnZF\n7bKT+2Sp6zoHoNls5iVL8KqENzBmkXjxikQiHo8HtaDZbGbPImwn59OdmJ2MyWRqaWmpqqqC\nbKS4sNMuNxQLWZE6LuiVYb4ZwWwGgHnBIKxeDRaLedcuAMAexfjxTWazWRR1w8gMDEzvcxFz\nAWYYFotFrqmBYBDdcm63u6+vT9M0r9eLzzDYy9DpdGISnjcaPfKd7wAA9p4lYVemsFaxmqbl\n5+xi80L80iGZBAAc/ZRbEjEuhmGMqZyAj1/KiE8yWIXNEnbx0RGrEjOZjC0Ugrq6/lQKsvM8\nJUnSNI2EXekpdSi2qF12rFYrm3SuaRqv66rVyjc2cskkZLuwYmtiTE8BgHA4XFtbi3NjMdkz\ntywc/XzTOxn8AbC3OJwRsvoSu8qNuyFO9ca/4tFVVZ0ogIJJeJjBCgA2p5MzDP8NN8Ctt8K9\n9/KKAj09mAbBcdzZeRuiqCeTmTNnIByGnMHwRBnBqtIEQZACARgZ8Xg8g4OD6L7FFzj/B+Mg\ngiBYLJZYLGbt7w+vXMl2ous69Q4tR9LptMViwapnvGLkCvRoNMpx3NnJ1Dm/cTYbaiJSqRR7\n6EVY26aZ/gRE+YE3TUxPYnEknudtNpskSf7Tp/UVK4LBIMbE0L13dhwFUVpK7bErapedqqoq\nVvOlaZpJkiAnTQ2NEoUdlvDIspxMJlELYhGZ2+1WFCWdrS09z7ET40o3s9nMdNi4sO7EcC4e\nO/yZ+Zqalj3yiPDMM/DAA8DzrCpWURRFUY4fP86S5TN+P+zYAYYB2QcvooxgjWwsFovs9UIw\n6PF4dF0fHR2tq6s7ffo0VgitXr160aJFuInVatU0baSpqSEahRxfHTljypHBwUFd17EfJ8dx\nrFshACiKgmX++PNXGhogGyiYNNsJW5TlmoQkSZgyVZSPQZQVZrM5f76cx+MJh8OpVMr9hz+M\nbNiAFxZsT5FOp7FwexbP+ZNJqYVdUbvsDA4OHjhwAF9rmsYnkwBgzhYK4LUpFovhqKVMJoOj\nt1jLdVmW7XZ7bpviaefY4WPuRFfDwvUTubW9mEo1qbBjz0/8pz/t37MHrrmG/RVf4JDmaDTK\n6nw1m017+23o6tJ1/Z133sm9MRBzn1xXriKKEAyi6WLUVZblRCJhsVicTidz5ODl1fvhh57F\ni7HnDton3bOLR/HyidG1hl2cBEHI/f2Ojo5ivRfHcZxhSFVV+NpisUxaB5Yfh2Vtm2bktIly\nx+Fw5HYwwTDXsWPH6uvr3T//ef+nPiWKInZiwokUFIedFUot7IraZaempiadTkciEQDQEgmM\nwPI8H4/HTSaT1WqVZTmdTmO4KpFIhMNhn8/HcRw+9eKGufUT0xZ2iqLouj6RC7pwKzvMh2OX\n4MKFsbmTJ/L/ig3PINubFLKOSTwx6ZFH4FvfSn/wAQ1pLjvYjG2LxSLb7TAyAgAej8disUSj\n0draWgzV5W6SyWQ4gCXPPy95vfjYTYNii0pR84nREYt6jk2MRUKhED4WGoZhymQUux0AZFme\nyi02FovlJ9gJgkDNDgnE6XQmk8nc/A3M8Gn1epNWa8RqdblcGBCzWCwk7GaLUt/Oi9plx2q1\n+v3+vr4+r9ernTzJ6zoAmEymZDLZ1NQUCASi0SjWwIqiiMKuqakJRY/ZbI5EItXV1W63OxQK\n4Q6nLexyfYT5FG5lNyaGW7iVHRtCMFE4FZUf1ov4fL5wOIyNiFKpVObzn3f8zd+kHnrIfPvt\nlGhVXrCZE4IgqBaLHg6bADweTzQaDQaDF110UX9/f+7zQCQSURSF03XLmjXoq5MkCXdCwq5I\nFDWfGG+fOMna5XIxj52iKKFQyOFwZDIZORQyJxKS3S4IgizLvskSanVdTyaTubPFgHqdEB/H\nbrfjjRLfGoYRDocvuugi/sMP+774Ra/bbTKZMOGH5/lUKsXWJErJLPhpitdlBwAaGhr2798v\nSZLW1wdWK3rmDMNobm42m82xWMxms2UyGbfbHY1GM5mMz+fD+x/rdSeK4qlTp3RdRzfY+Xcn\nzqewx25MDLfw8An03Izb8oCtwI7l9/vD4TBe4k0mkyRJ8KMfpe+6yz5DYwSJkoHBDlb6oJw+\nbR0c9Hg8+F2j9WKcDgBUVT106BAAGCZT5rOfxWY6iUQCzYyqYotEaaZ24txCbD4MACdPnrRY\nLOiqz4yM8NlAqizLk1ZOJBKJ/Jlj1OuEyAUnDrO5JgDQ2Njo9Xq1Q4eG1q+/oLFxdHSU9X+V\nJCm30zVRMuZEAG7//v2vvvrqnXfeWWCdAwcOvPrqq/nLE4lEbuygqqrKZrMNDg5qwaBp0SIU\ncw6HAwVQLBbjeV4URafTOTIyIggCq9y22+3BYFCSJLfbres67pYNKDtXCj/mCoLA6jMm3XYq\nHjuYuAACK0XYuHcc7YdX6kwmA3V1qS1bHL/8JXR3w8ef1Im5DAo7DMUCgLJsmfWRR8QHH+R5\n3mKxoMs5Ho+n02m73X7s2DEAcABI6XTyoovkcFgUxdHR0dzKa2LGwXzinTt3siUzO7XT6XSi\nFAuFQplMRtM0SZL6+vqWLVv20UcfYW6x5nZDNr2SJRNPRDwet9vt+RF8EnYEw+FwYBU2vuU4\nDl28A6kUZxjz5s0bGhpi2UGGYVAodlaYE8Kup6fnpZdeKizs9u3bt3v37vzlY+r8AaC+vr6v\nt9cTj4Mo8jzPskawRZPNZvN4PC6XS5Zl9BKjx87pdEaj0Wg0Wl1dbbfbcavz8dgVEHbYeKLA\ntl6vl72dNMcOP1oBjx3+xnCWmiAIONJb13VMi047nd6tW0nVlRdYB62q6tki65tugptu4r79\nbVEU8U6v67rT6ezt7XU6ncFg0OPx2Lu74zyfApAkqaqqCtNAqWCteHR1dW3atOmhhx5qb2/H\n5IcjR47Y7faXX355RvbvdDoxmSkSiWAn2BMnTni9Xr/ff+TIEavVmrFYtGxzpakMYs+fOQEA\nkiTR5ACCYbVaeZ5njgm73Y4ZHQNNTfWhEN5l8HaDVydK8pkV5oSw6+zs7OzsLLzOjh07duzY\nkb988+bNjY2NuUvq6up6TpzIzJsHLpeZ52Ox2Pz58wEgmUyqqprJZERRxIdX9BIrisJxnNls\nxrJtTLNjs/CmPU+swGMuprwU2DZXFOJsiYlWxrJZmNhjx4QptinGoX4YnsYfZzqdrqurm+wD\nEXMLFHYYjbVYLMratVBfD4895vnyl4PBIDqh6+vru7u7AaCtra2np6fu17/WNmxIJpOyLGMe\nzLTNm5gKRc0nBgCn04mPcyjvBgcHw+HwJZdcAgCaplkFIZG9BI15VpyIeDyefykgjx2RC8dx\ndrsdR5tANkNXOXIkUVOzGAAAJEnCnG9FUchdN1vMgrB76623/vM///PQoUN4sVu+fPmOHTtW\nr149U/u3WCzzwuHR+fMdFosJIJPJ4BNnLBbDnHFskw05Gei4ldfr7e/vBwBs3w/nUTwhSVKB\nVOXC7U7G5NhZLJYCcVsAwJs03ubzH8pzPXaSJLG2zADAwjf08ys7WOfCs4Wxqgrf/CZ8+9ue\nm28+k05jXmZNTc3p06ddLpfH41EUxfvKK5mbbgqmUoqiJBIJm812Pm0aialQ1Hxi7H/OcRw+\nKPb29jY0NDidzrO+2HQasj2odV2ftHJC0zScFsWW6Lp+5swZbIhYjPMnypTcKmxM8ol3dZm+\n+EXXunXArkiyrCgKJdjNFhU1UoxR/8YbqijiKEye51lrYpvNZjab7XZ7OBzmeR7dZijszGaz\nz+dLpVKo/FKplKqq51MVWzgUO9G4WDzo1D12MFmaHQ7sY2eF/4pkMokfHyUj/fzKDibszray\nUxS46SbweDw//alhGGyG3sqVK5cuXRqJROyqalUUR1sbXpGDwWBDQ8P5DFYhpsf+/fv/+Z//\nufA6XV1dreMxPDyMs8IQliLp9XoNwzAMA59g8UfNh8NcTob7pJUTGKNgwm50dHTfvn29vb3t\n7e2TDiIjPlGgseFrVVXh//4vlki4rFZ0lGDXBQAgl8EsUlEjxRje//5vbtMmRVFw/Cv6saLR\nqNVqFUWR47hwOOxwONCfrCgKdmnHbq6RSGTevHkmkwnnjE3jzle4OzHkjIvNXye/HWjhHDtc\ngTlv8s8Ws+zxrDDIy/O8IAiqqqLnBvu8+P1+isqVEexrxalisiyDxQLf+Ib5/vsdr7yCA8dY\nJ8VIJOLr7oYNG5yiiME7TdNwQAU5Y0rMVPKJr7766nEzk/71X/916dKluUswh4TlSp44ccLv\n96dSKY7jpGTSsNkMXcfVJr3FYpEZz/OSJHV3dw8NDdXU1LS1tVHRNJGLoij4dIE1eVImA9/6\nVvx73xOrqwEACyZsNhs2nSBhN1uUWtgVuwUAAEB3NwwMMIccPqqqqppOp81mMz7dRiKR+vr6\nvr4+HLcF2epRr9cbiURqamqcTie2EpiGsCvcnRgKjovF7mK5F9NJhd2kHjvI9kPBbuAWi8Xj\n8QwPD0O2Du7gwYMdHR3ktysjcmeK/CVY/5WvwIMPenp7o83NOGgEA3CRSGTRL38JV11lt9tR\nAdTU1ODYH7ptl5ip5BOjfy5/+WuvvVZfX3/2zUcfGSMjmH2B8Qe8Spw4cQLbnaTxwmE2Q/ZJ\nsjA4c6K3t7e7u9vhcKxcuZIcdUQ+x44dY/3wTSaTKssQicQbG+e53QCAN1O8lbCB7ETpqaiR\nYmd5910IBDiLBQBkWcbLE04SS6fToijG43FVVaurqzVNy2QyqP9QAHm9Xsw/w/qJ6XnsJh3C\nU2BcLPYYG7PypMIOJd24wg5dO8x5zoLReEvAh3tBEEjVlResMfVfPHYAYLPBzp2en/40k06b\nzWZsepJIJBRF8b71FmzYgA4ewzAaGhoAwDAMEnZFpXgjxeLvvTdy330AoKqqqqrYcsLhcPT3\n9w8PDxuGIblcgsmEbvip3F8jkUgoFDp58mRLS8uqVatI1RH5DA8P5841EXhe57jMQw9JioJB\nfDYKBden28psUWqPXbFbAAAA/OY3sGYNa6XDhB3GXkVRHBkZcTqdoiiazWa87UGOsDt+/Dh2\nsztx4gR20M7dt67r4XA4EonMnz9/ojFchbsTIxPVT+THcAv3sYOP59Hn/zU3xw59gRaLxTAM\nbIKVyWQ4jps0sZqYa6B1oW3gfLCzf/ja1zyf/rSm63arNRgMtrW1RSIRuyRZ/X5obgYAFPQu\nlwutgpoRFI/HH3/8nnvuuf7667dv346FhAcPHtywYcOjjz56/mkn8c98ptvvh2xRv81mM5lM\nGG04G/3gebPNZlJVXdexCUAmkzl+/Di7SmBRBb5WFAXbPy1evJimCxITYbPZFi9efPToUXzr\n6O7ONDUNf+Yz/KlTKOYwUxOvKpj2M4tn+0mmokaKneU3v4G/+ztsvg/ZHk6xWEwQBFY5gVIG\nxQ0KLDwBl8uFaXZutxu9ILhc07RQKDQyMjI6Oop7NplMCxcuHPf4hSsnkImGT4zrscPOFBP9\niwp77Nhl2mKx4GssmQwEAolEAkvTm5qaCp8tMddAY8BHF7vdLknSWYMXRfv115tk2SKKsXg8\nlUpFIhHvkSPw2c8CgKIo2FwKAFRVxdD8LH+SyqWo+cSBQOAju53TNAPAJgiJRMLhcCiKghPG\nEokEjs3RZRkAsKgiFArFYrHa2loA4Hme5dTi6Ja8BZAAABuOSURBVKf+/v729nZKtCUK4Ha7\nM5kMXnY4APHtt0e3bg2NjmLmOgBgCAgfGikOO4tU2kgxiMXg8GF9zRpDltHfNjAw0NbWFovF\nPB4Ptm+NRqMYisIroKqqpmzMArLR2OrqaoyBhkKhEydOhMNhjuP8fv/ixYurqqqGhoZ6enqa\nm5vHFVtTma440bjY/AZ47DZcQNgx9+S4f2W+GYy7obOwrq7u5MmTuAl57MoO7F+IXUAx3vGX\nVOWdO82//rXOcXa3OxgMRsLhRb/6FXztawDQ19eH/S8gmw1Dwq54FDWfeHBw0DAM4DheUWwf\nfRR3OlHYDQwMXHzxxR988IHO8yj3ITt5IhaL+Xy+cbP3Tp486XK5SNVVBkVtKBYKhURRjEQi\nYBiOpiYASCaT+LQAAOl0Gu9HU6nXIYpHxf2S330XzGZtxQoAwBjEwMBAKpXCWAObrojtOnOF\nHdsB1k9wHIdtos6cOSMIwoUXXrh27dqlS5ei4Kurq+M4Dpve5TMVYXdOoVjI9mQZF4zHsRt2\n/l/xhc1mY7NBmRrA5VQaWY7g0wg2x8ntBQ9VVSarVUqnA35/b2+voqreDz+Eyy83DKO/vx/9\nu4qiYCtH+uqLR1Hzievr6zFx1uZ08qlU7PRpp8OBk14PHjyI67CLBr6Ix+P5gyUQzFE5/7Mi\nZp1iNxQbHR3Fe4fBcdYvfQmfLVlGJlYoYpk2JdjNIhWXTvHuu7BqlZZVM/PmzUulUn19fRhu\naGpqCofDmF0HADiGAasH2A58Ph+m2TU0NESj0Y6OjnxXmclkamxsPHPmTGNjY35P4Kn0eZ9o\nXGy+KMSjFx4+UcBjx4Rdc3Mz6lcMxbIZsnRBL1PQaYeGYbPZcs3JEEVFUTyHD59xu+3JpLW9\nHZzOkeFh9PtyHJdMJlHYUY5d8ShqPjFzxWkcp65eLcmysGdP6uKL29vb9+/fDwAcAHAcNnLC\n7phj+g/nkk6naW5YZVDUBIBEIiHLMp+90Qj19ebhYVmW0TmHLSacTiemeZDHbhapOI9dtnIC\n37nd7tra2pGREbvdrqqqKIoswQ6ywxbH1AY6nU5BEMLhME5XnCgA2tDQoGna0NBQ/p+mMoRn\nXI/duA3w0DEzqbBjmXb5f8UXoijicxV67CCr+SaaRUbMcTBNCk19jLDTAEyGwb30ktls9u7f\nD1deCQC9vb01NTWYcsqEHVXFFg/MJ3766ac3btx46aWXdnZ27tq169ixY2N60U2PwcFBLK6X\nJCljMvEA+ttvK4ridrtrLBYAMJvNLPVC07Qx/YfHkE6nyb9SGRQ1AWB0dNTpdKYPHMC3uq6j\ngwCvQul02jAMTPklYTe7VJbHTlXhvfdg504m7ARBqK+vx3AqDiSOx+Os6IHneXySHlMI5vF4\nIpFIIBAoUNJhNpvr6+tPnTpVU1MzxmlXuDsxMm7xhCzL4+azF+54gi2sCuTY4QuWpYceO8hO\ng4lGo+POIiPmOLmuXLvdjkINALDUxmm3x1yulv5+cdcueP75eDwejUYXLlzY39/vcDhSqRRa\nC5WtFZXi5RM3NjZixkgwGJQkye3xyNu3c7qe3Lu3Lhodbmjgs33LbTabqqrxeBz7D+fvSpZl\nNi2AKHcwAWDnzp1syQwmAAQCAU84fDTrkmDF+JjCnkgkMPyFNXmU5jGLVJbH7k9/gmQSLr2U\nSRycJ2YymTC/JBKJAEBuiyZMpBvjt8A0u0mb2DU1NWUyGewWxpBlWdf16RVP4O8kPzpWWNhh\njt1EHjv2r2B7QI8d62yn6/qYj0CUBRhUxe/Xbrczjx1+uW6/P7puXcONN7rDYVixore3t6qq\nCh9gnE4nZp1Ssnz5gg9yoihiT0qr1ZpobrbJcuq557S33sKpT5jqxDx2Bdx1QNmWlUJXV9fD\nDz/c2Ni4YcOGL3zhC+vXr29sbPzxj3/8+OOPn//OHQ6H58475UAAK7eSySTeetAfjJMq0WeB\nw2/O/4jE9KisK/u770JbG1RXMzWDogcVjNvtxj4muXINOzyNEXY+ny+dTqOZFjiaIAi1tbWn\nTp3KXThpd2Jk3HGxEzXAm9RjVyDHjslHtgdWjYFHd7vdAwMDhc+WmINMJOzwG/d4PLHqap3j\nYMMGRVWHh4cbGxtlWeZ5XhTFZDKJF9/Z/ADE+SHLsiAIGNhNpVKxWMzR0JBav149dQo4DvPq\nzGYzXj0KCztqOVYxFDUBAF55BX71K81uxySlVColyzLHcbFYDACSySS2QJdlmbohzi6V9d9f\nvBi+8x3IPoNidlo0GgUAm83m9Xq7u7vHDMPGSbJjhB2m2YVCoUnvfM3Nzb///e8jkQirlpAk\nief5Sc163HGxE5XTTkXYTeSxw9s8UwCQVbGYDwEADodjYGBAURRKtyov8BtnoVhd19F+8Buv\nqqoyABKPPOJetqyvr89qtVZVVQ0MDAiC4HA4cHId3cvLGlmWLRaLKIo8z+PYa6vVmuzosCuK\nkf29W61Ws9mcyWRw6M64+6EEuwqjiA3FbDb90UexIsdqtSYSCcMwTCZTOp3GyeOQzTKiqqzZ\npbKEXdaUk8kkZPOHEomEzWbr6OhAy1u0aFHuFlVVVS6XK1+Heb3e4eHhSSvF7HZ7IBA4ffo0\nE3ZTqZyACcbFTpScV3j4BHaqw6Hv+X+dyGMXDAbZOo2NjZOeMDHXwGnIrHiC4zjsjI0Jlyjg\nop/7nNjY2P/b3zY1NXEchwaG6QeZTIZu5+WLYRiqquLt0+/3Dw8PY/ArlU4rGzdCTw+WhWGA\nAsMIGJ3IJ51OUxy2stm/f/+rr7565513FljnxRdffOqpp/KXsxliAAAbNsQuuQQ+/BAAbDbb\n6OgoBvrRgYItJtANMZGxEaWhsoRdlnQ6bTKZUMGwFk2RSMRkMuXPQGS9+HNBYTcVl8aCBQv2\n7duXSCTQlKfSxA4mGBebP3aCrVzYYwfZnJv8v2JOPZsRDtlqSsy8Ngwjk8msWLFi0hMm5hoo\n6Nk0bmyg4/F4mPPV4/FEo1FBEFRVraurg2zwjud5q9WKruVZ/gzEdMFLB37RPp9vZGQEm02g\ncw6yNVJ+vz+TyWATiom+7nQ67ff7S3nyRInp6el56aWXCgu7+fPnr1q1Kn/50aNHL7jgAvYW\nZ6kDgMPhCAaDLpcrFouJojgwMIB52xhJoPjP7FLJwo557DD8Gg6HvV5vfkbnRMIOplYz6HK5\nfD7f6dOnsch8isIOxut4gjNq89c0m81/GQaaBzvJcT12KOxYwzO2w1QqhQUcrJqSKC/GNDhk\naXa5wu7EiROSJNXW1qKFS5KEXjqn0znRUwRRFuClA79Bp9OJaRVYHIaZ7Ag2FcMyi4l2RaHY\niqezs7Ozs7PwOh0dHR0dHfnLjx8/nhvSwXQ6NoDYZrPFYjGn0zk0NCQIAosh0Eib2aWisqfj\n8XhfX58sy5gkjlNWcawKAOR2sMsFU4zHLMQ0uym6NObPnz88PIy31fMUdtPIscOTL+yxy82x\nYzt0Op0Wi6WAZCTmMvhkrOs63tRZK7tcYSfLciwWY9dllvuCLaZI2JUvmLTOypwBAJPWLRZL\nOp1mv3e8iBUQdpqmKYpCwq6SeOutt/7+7/9+zZo1F1100dq1a2+77bb3339/pnaOFRLok2O9\n/W02G3awAwBFUcb0/CdKT0UJO1mWT548+dvf/hZvdThnSdM0l8slSVIqlcoXdpqmYZfF/L35\n/f4ppp74fD5RFM+cOQPjDXudiPxWdhPl2OUGUsf9K76YKMeO47gxHjuWf4NJ9/jvIsoLVi7D\nCmNRxKuqisLObrcLglBVVcU6hTIv3bhdfogyAhtN42vMZMcgA3Y5wRe59THjhgIgW2dGwq5i\nKOpIMazQgmyzTBZ7ZfIOALCJHaV5zC4VFYr1+/2XXnrpsWPHhoaGcAB2f3+/xWKxWq2Dg4MW\niwXvZ7nkzmAYw5IlS6Z+6KampiNHjixYsGDqHrsxrew0TWPZ0GMo7LHDlkKQ07IuF+xqganW\nbCEWW2A8LhKJTF2MEnMHJuwwlyA3FMvsubW1NTeLmT05oNSjL718Qecce+t0OrGABn/mzIkL\n2Wy8ib5rHO5JEr9iKPZIMchaF1pOJpNB1x32/+d5nmV1n+exiPOhojx2AGAymbA/sNVqFQSh\nt7dX07RTp04Fg8GJEuxgAmF3TsybN89ms3V3d0+lOzEyxmNXoAFeYWEH2V/RuB47rJEcI+xw\nxIXdbkelS9HYcmSMx85ms2GCS27nmtraWibsFEUxDAOfHNB/Q8KufBnzEIhNp1HbsYXoh0O5\nP9HkQCqJrTCKOlIsFouhE4Hn+WQyiTNs0EOxatUqp9OJ2dtAwm62qTRhBwCxWAwLP/1+v8/n\nwwa8IyMj4ybYzZSw4ziuqakJfzzT89hh0sxEHjvWZnlccgskx6BpmsViyf2roigseIeXfqqf\nKEdyPXaQvYtjCeS4DpjcuSa4IeXBlC+NjY25tYpOpzOZTPr9frxKYPYFmgT2fproyZAqJyoM\nHCmWu2QGR4rh/HQAsFqtWAyLHjtFURwOByaBpFIpjM+e/+GIaVMJodiDBw8++eST+Jrn+ZaW\nFmzl0Nvb6/V6g8FgLBbbv39/OBzObzjc3Ny8bt26L3/5y/m7DYfDPM9PlJuSj8lk2rJli9ls\nvummm6ay/uLFi5ctW/bII4+cOXOmubm5ra1t9erV27dvz1+zqqpq06ZNt956K3OtDQwM+P1+\ndmO+9tprDx06VFNTk+9sv/HGG/v7+6uqqvr7+//jP/5j6dKlLpertraW47inn37aarU2Nze/\n8847bKoY3gaIScm1uonYu3evIAjnpJ+mbnX19fVXXXWVruv33nvvgQMH8Nv/p3/6p46Ojr17\n9x4/fnzM+o2NjevXr7/55psNw3C5XFu2bPnOd76TW0E5KWOsbipEIpGWlpZJu96T1U2RiazO\nZrM1NTW9//77tbW1AICdq1955ZU//vGP119/vdPpvPvuu0dGRvI3vOqqq4LB4J133nlO1zoA\nyGQy0Wi0pqZm6psYhoHXuqlvAmR150hXV9emTZseeuih9vZ2nIR+5MgRu93+8ssvT3ufzOo4\njmtrawOAUChkt9s/+ugjHJhuGMa3vvWtyy67rKmpCU3ivvvuG9fecjnXOyyQ1U2Zshd2q1ev\nfuqppx588EF8e/HFF99yyy1DQ0Nut/utt9669tprn3jiidOnT/f09OAgijGbb9my5eTJky++\n+GL+nqcxJV2SpHXr1o27t3wuu+yy5cuXv/jii5gjtWXLltra2nG3ra6u3rRp089//nPmTlcU\nBb2S+Lajo2NkZMTv9+dvvmPHjo8++qijo0NV1SeffLK+vv5v//ZvMSPnwQcftNlsXV1dJ06c\neOKJJ3D9efPm5XoCiHEZY3UTMZHVFWDqVrdkyZKrrroqmUx++OGHb775ptlsXrduXXd399q1\na3/xi1/8/ve/H7P+lVdeuWLFihdeeAEA2tvbr7vuuueee25M+U5hxljdFD+OIAj19fWFVyOr\nmwoFrM5qtXZ1de3evfuOO+4AAI7jFEV5/fXX33///R07dqiq+rvf/W7c0sjPfe5zr7/++t69\ne+Ecr3VYkX1OsQ5MCDGbzec0RZSs7pzAkWJvvPHG0aNHsSPEXXfddcUVV0zbhZZrdTU1NQ88\n8AAA9PT0LFmy5IEHHnjooYf+/Oc/o3Bsbm4WBKG6uprjuFdeeWXMsM18pnGHJaubKkZlIUlS\nIpFIJBKRSCSdTsdiMaz6rK6ufvHFF/PXz2Qy6DrOZ8uWLbfddts5Hf3f/u3fli1bNsWVFUWJ\nxWKHDx8GgMHBwQJnout6LBZjVUiGYdTW1j7//PPsbTKZTCQS8Xg8f9vBwcFkMjk6Ovq1r33t\nq1/9Kq4cCoVCoRCuEAwGx92QOH8msroCTN3qNE2LxWKxWOxHP/pRe3u7YRjJZDKTycRiMVVV\n89fHnwa+PnTo0KJFiwYHB8/p3MZY3VS44YYb0OqIYhOPx/GS8sQTT+zZs2d0dFRRFFVV0Ugw\nw3KiraZ3rUOrmzrsWndOW5HVzR1UVQ2Hw8PDw+x2g3fbZDJZXV29e/fueDyO9pZ7t5oIsrri\nUfYeuzGMiXxNmhc8430UC1c55GI2m3ObSxU4E47jCvQXhWyR47ig19rhcIRCIWyI4HA4cte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      "text/plain": [
       "Plot with title “Cluster 8”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# load and run the k-means clustering function, \n",
    "# selecting an adequate number of clusters and algorithm\n",
    "# restarts and an adequate distance measurement\n",
    "source('K_means.R')\n",
    "K <- 8\n",
    "R <- 300\n",
    "SEED <- 11\n",
    "\n",
    "### 2 methods: \"Euclidean\", \"Correlation\"\n",
    "list_Kmeans <- K_means(MAT, K, 'Euclidean', R, SEED)\n",
    "\n",
    "# plot all the clusters in a single figure, arranged in two lines,\n",
    "# with the time profiles of the individual elements in grey and the centroid in red\n",
    "\n",
    "# create layout, plots in 2 rows\n",
    "if(K%%2==0) {num.colonne=K/2} else\n",
    "{num.colonne=(K%/%2+1)}\n",
    "  \n",
    "layout(matrix(c(1:(2*num.colonne)),2,num.colonne,byrow=TRUE))\n",
    "for (i in (1:K)) {\n",
    "  plot(list_Kmeans$centroids[i,],type=\"l\",col=\"red\",main=paste(\"Cluster\",i),xlab=\"time_istant\",ylab=\"Profile\")\n",
    "  num.el <- length(which(list_Kmeans$clustering==i))\n",
    "  if (num.el!=0) {\n",
    "    elementi <- which(list_Kmeans$clustering==i)\n",
    "    for (j in (1:num.el)) \n",
    "      lines(MAT[elementi[j],],col=\"grey\")\n",
    "  }\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}